Publications / 2005 Proceedings of the 22nd ISARC, Ferrara, Italy

Image Processing For Construction Equipment Idle Time Analysis

Junhao Zou, Hyoungkwan Kim
Abstract:

Accurate analyses of equipment idle time is crucial for the efficient utilization of construction equipment in a large construction project. The less idle time the equipment has, the higher productivity the construction can achieve. However, it is not practical to measure construction equipment idle time by human visual observation. This paper describes an image processing-based methodology to automatically quantify the idle time of construction equipment. The image color space, HSV (Hues, Saturations, and Values), is used as the basis for image segmentation and tracing algorithms. The HSV color space shows significant advantages over the RGB (Red, Green, and Blue) color space in identifying and tracing construction equipment. The centroid coordinates of equipment are used as the indicators of movement. Experimental results show that the proposed methodology has a promising potential for effective equipment management in construction projects.

Keywords: Construction, Digital imaging, Equipment, Idle time